Capacitated Planned Maintenance

Models, Optimization Algorithms, Combinatorial and Polyhedral Properties
1. Auflage 2017
ISBN: 978-3-319-40288-8
Verlag: Springer International Publishing

Buch, Englisch, Band 686, 286 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 4803 g

Reihe: Lecture Notes in Economics and Mathematical Systems

This book examines the problem of maintenance planning and scheduling in industrial production systems. It presents two practically relevant, deterministic mathematical models: the capacitated planned maintenance problem (CPMP) and the weighted uncapacitated planned maintenance problem (WUPMP). It introduces specific optimization algorithms such as construction heuristics, Lagrangean and tabu search metaheuristics. A problem independent hybrid approach links and alternates between two Lagrangean relaxations. It also analyzes the solvability with respect to the computational complexity of several problem classes, polyhedral properties and lower bounds. Computational studies demonstrate the performance of the heuristics, lower bounds, subgradients obtained from heuristics and the quality of dual information. This unique book includes implementation details and an introduction to the necessary theory making it suitable for upper undergraduate students.

Zielgruppe

Research

Autoren/Hrsg.

Kuschel, Torben

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Produktionsmanagement, Qualitätskontrolle
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung

Inhaltsverzeichnis

Introduction.- The Capacitated Planned Maintenance Problem.- Known concepts and solution techniques.- The Weighted Uncapacitated Planned Maintenance Problem.- Analyzing the solvability of the Capacitated Planned Maintenance Problem.- Algorithms for the Capacitated Planned Maintenance Problem.-Computations for the Capacitated Planned Maintenance Problem.- Final remarks and future perspectives. 

Über Autor(innen)

Torben Kuschel's academic passion is Operations Research and Operations Management since 2004. He is a researcher at the University of Wuppertal, Germany.